The development and feasibility of treadmill-induced fall recovery training applied to individuals with chronic stroke

التفاصيل البيبلوغرافية
العنوان: The development and feasibility of treadmill-induced fall recovery training applied to individuals with chronic stroke
المؤلفون: Tamara R. Wright, Jeremy R. Crenshaw, Darcy S. Reisman, Jamie Pigman, Ryan T. Pohlig
المصدر: BMC Neurology
BMC Neurology, Vol 19, Iss 1, Pp 1-11 (2019)
سنة النشر: 2018
مصطلحات موضوعية: Adult, Male, Balance, medicine.medical_specialty, Neurology, medicine.medical_treatment, Psychological intervention, lcsh:RC346-429, 03 medical and health sciences, 0302 clinical medicine, Physical medicine and rehabilitation, Medicine, Humans, Neurochemistry, 030212 general & internal medicine, Treadmill, Adverse effect, Chronic stroke, Perturbation training, lcsh:Neurology. Diseases of the nervous system, Aged, Retrospective Studies, Rehabilitation, business.industry, Stroke Rehabilitation, General Medicine, Middle Aged, Exercise Therapy, Stroke, Chronic Disease, Feasibility Studies, Accidental Falls, Female, Falls, Neurology (clinical), Neurosurgery, business, Stability, 030217 neurology & neurosurgery, Research Article
الوصف: Background Exercise has failed to reduce falls in those with chronic stroke. A limitation of traditional exercise is that the motor responses needed to prevent a fall are not elicited (i.e. they lack processing specificity). Balance reactions often require compensatory steps. Therefore, interventions that target such steps have the potential to reduce falls. Computerized treadmills can deliver precise, repeatable, and challenging perturbations as part of a training protocol. The objective of this study was to develop and determine the feasibility of such training applied to those with chronic stroke. We developed the training to address specificity, appropriate duration and repetition, and progressive overloading and individualization. We hypothesized that our intervention would be acceptable, practical, safe, and demonstrate initial signs of efficacy. Methods In this single-arm study, thirteen individuals with chronic stroke (29–77 years old, 2–15 years post stroke) performed up to six training sessions using a computer-controlled treadmill. Each session had separate progressions focused on initial steps with the non-paretic or paretic limbs in response to anterior or posterior falls. Perturbation magnitudes were altered based on performance and tolerance. Acceptability was determined by adherence, or the number of sessions completed. Practicality was documented by the equipment, space, time, and personnel. Adverse events were documented to reflect safety. In order to determine the potential-efficacy of this training, we compared the proportion of successful recoveries and the highest perturbation magnitude achieved on the first and last sessions. Results The training was acceptable, as evident by 12/13 participants completing all 6 sessions. The protocol was practical, requiring one administrator, the treadmill, and a harness. The protocol was safe, as evident by no serious or unanticipated adverse events. The protocol demonstrated promising signs of efficacy. From the first to last sessions, participants had a higher proportion of successful recoveries and progressed to larger disturbances. Conclusions Using a computerized treadmill, we developed an approach to fall-recovery training in individuals with chronic stroke that was specific, considered duration and repetition, and incorporated progressive overloading and individualization. We demonstrated that this training was acceptable, practical, safe, and potentially beneficial for high-functioning individuals with chronic stroke. Trial registration Retrospectively registered at clinicaltrials.gov (NCT03638089) August 20, 2018.
تدمد: 1471-2377
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93cc86fff73639c15dcf6dffed12a52cTest
https://pubmed.ncbi.nlm.nih.gov/31128598Test
حقوق: OPEN
رقم الانضمام: edsair.doi.dedup.....93cc86fff73639c15dcf6dffed12a52c
قاعدة البيانات: OpenAIRE